SurrealDB is a multi-model database designed for developers building AI agents and complex applications. It unifies document, graph, vector, and time-series data in a single ACID transaction engine, supporting both cloud-managed and self-hosted deployments. SurrealDB simplifies context management and data consistency for modern applications.
SurrealDB is a Databases (SQL, NoSQL, vector, graph) project. Storing, querying, and retrieving relational, document, graph, vector, and agent context data across fragmented systems. SurrealDB is a B2B product aimed at developers and teams building data-intensive applications and AI agents. A free plan is available. It runs on the web and the command line, and it can be self-hosted.
SurrealDB Ltd builds and maintains SurrealDB, and it first shipped in 2022. The project is developed in the open on GitHub with 88 stars and 37 commits in the last 90 days. Among its 10 catalogued features are document storage, graph queries, and vector search. It exposes integrations via a public API.
Summary written by a language model from the project’s public pages.
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